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  • Open Access

    ABSTRACT

    Moving Finite Element Simulation of Various Fracture Path Prediction in Materials Containing Holes and Inclusions

    Nishioka T.1, sugami M.1, Fujimoto T.1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.3, pp. 119-126, 2007, DOI:10.3970/icces.2007.001.119

    Abstract In this paper, the simulations of fatigue crack propagation and dynamic fracture path prediction are carried out for specimens containing circular holes or inclusions, using the moving finite element method based on Delaunay automatic triangulation. And, we compared the numerical results with the experimental results. More >

  • Open Access

    ARTICLE

    The Moving Finite Element Method Based on Delaunay Automatic triangulation For Fracture Path Prediction Simulations In Nonlinear Elastic-Plastic Materials

    T. Nishioka1, Y. Kobayashi1, T. Fujimoto1

    CMES-Computer Modeling in Engineering & Sciences, Vol.17, No.3, pp. 231-238, 2007, DOI:10.3970/cmes.2007.017.231

    Abstract First, for growing cracks in elastic-plastic materials, an incremental variational principle is developed to satisfy the boundary conditions near newly created crack surfaces. Then using this variational principle, a moving finite element method is formulated and developed, based on the Delaunay automatic triangulation. Furthermore, theoretical backgrounds on numerical prediction for fracture path of curving crack using T* integral are explained. Using the automatic moving finite element method, fracture-path prediction simulations are successfully carried out. More >

  • Open Access

    ARTICLE

    Cyclic Softening Modeling with the Distribution of Non Linear Relaxation (Dnlr) Approach

    L. Dieng1, A. Abdul-Latif2, M. Haboussi, C. Cunat3

    CMC-Computers, Materials & Continua, Vol.6, No.1, pp. 21-34, 2007, DOI:10.3970/cmc.2007.006.021

    Abstract Being of particular interest in this work, a complicated phenomenon related to cyclic softening of metallic polycrystals is modeled. As in the Waspaloy, this phenomenon can take place when a non-proportional tension-torsion cyclic loading of 90° out-of-phase is followed, after cyclic steady state, by a uniaxial one (tension-compression) with the same maximum equivalent plastic strain. By using the DNLR (Distribution of Non Linear Relaxation) model recently proposed by the authors describing the cyclic plasticity of metals, a new extension is here developed. It is recognized that such an extension can satisfactorily reproduce this softening phenomenon. More >

  • Open Access

    ARTICLE

    Prediction of Springback in Straight Flanging using Finite Element Method

    S. K. Panthi1,2, N. Ramakrishnan2, K. K. Pathak2, J. S. Chouhan3

    CMC-Computers, Materials & Continua, Vol.6, No.1, pp. 13-20, 2007, DOI:10.3970/cmc.2007.006.013

    Abstract One of the important features of flanging process is elastic recovery during unloading leading to springback. The elastic recovery is associated with various tool and material parameters. It is difficult to analytically predict the elastic recovery accurately owing to the complex material deformation behavior. In this investigation, a commercially available Finite Element software is used for elasto-plastic analysis of flanging process. The springback is studied varying geometrical, material and friction parameters. The results of the simulation are validated with a few published experimental results. More >

  • Open Access

    ARTICLE

    Prostate cancer nomograms are superior to neural networks

    Pierre I. Karakiewicz1,2, Felix K.-H. Chun2,3, Alberto Briganti2, Paul Perrotte1, Michael McCormack1, François Bénard1, Luc Valiquette1, Markus Graefen3, Fred Saad1

    Canadian Journal of Urology, Vol.13, Suppl.2, pp. 18-25, 2006

    Abstract Introduction: Several nomograms have been developed to predict PCa related outcomes. Neural networks represent an alternative.
    Methods: We provide a descriptive and an analytic comparison of nomograms and neural networks, with focus on PCa detection.
    Results: Our results indicate that nomograms have several advantages that distinguish them from neural networks. These are both quantitative and qualitative.
    Conclusion: In the field of PCa detection, nomograms appear to outweigh the benefits of neural networks. However, the neural network methodology represents a valid alternative, which should not be underestimated. More >

  • Open Access

    ARTICLE

    Nomogram prediction for prostate cancer and aggressive prostate cancer at time of biopsy: utilizing all risk factors and tumor markers for prostate cancer

    Robert K. Nam1, Ants Toi2, Laurence H. Klotz1, John Trachtenberg3, Michael A. S. Jewett3, Andrew Loblaw4, Greg R. Pond1, Marjan Emami1, Linda Sugar5, Joan Sweet6, Steven A. Narod7

    Canadian Journal of Urology, Vol.13, Suppl.2, pp. 2-10, 2006

    Abstract Background: There is a large amount of confusion in interpreting prostate specific antigen (PSA) values for prostate cancer. More precise risk assessments for prostate cancer detection are needed for men faced with an abnormal PSA.
    Methods: We studied a sample of 2637 men who underwent a prostate biopsy for an abnormal digital rectal exam (DRE) or PSA. Using factors including age, ethnicity, family history of prostate cancer, previous negative biopsy, presence of voiding symptoms, prostate volume, DRE and PSA, we constructed nomograms to predict the probability of prostate cancer at biopsy.
    Results: Of the 2637 men, 1282 men… More >

  • Open Access

    ARTICLE

    Water quality in the basin of the Amajac river, Hidalgo, Mexico: Diagnosis and prediction

    Amado Alvarez1,2, Enrique Rubiños Panta1, Francisco Gavi Reyes1, Juan José Alarcón Cabañero2, Elizabeth Hernández Acosta3, Carlos Ramírez Ayala1, Enrique Mejía Saenz1, Francisco Pedrero Salcedo2, Emilio Nicolas Nicolas2, Enrique Salazar Sosa4

    Phyton-International Journal of Experimental Botany, Vol.75, pp. 71-83, 2006, DOI:10.32604/phyton.2006.75.071

    Abstract A water quality index as a standardized method to compare the category in an integral way, between locations and through time, of the different water, river and stream storages of the Amajac river basin was developed. In addition, it is possible to predict the degree of contamination and establish planning strategies in the management of the water resources for the river basin in issue. The used methodology was based in the quantitative expression of water quality. Three samplings were made (2005-2006) and Dissolved Oxygen, Coliform in feaces, pH, Oxygen Biochemical Demand, Nitrates, Total Phosphorus, Turbidity… More >

  • Open Access

    ARTICLE

    Prediction of Dendritic Parameters and Macro Hardness Variation in PermanentMould Casting of Al-12%Si Alloys Using Artificial Neural Networks

    E. Abhilash1, M.A. Joseph1, Prasad Krishna1

    FDMP-Fluid Dynamics & Materials Processing, Vol.2, No.3, pp. 211-220, 2006, DOI:10.3970/fdmp.2006.002.211

    Abstract Aluminium-Silicon alloys are in high de-mand as an engineering material for automotive,aerospace and other engineering applications. Mechanical properties of Al-Si alloys depend not only on chemical composition but also more importantly on microstructural features such as dendritic alpha-aluminiumphase and eutectic silicon particles. As an additive to Al-Si alloys, sodium improves mechanical properties byforming finer and fewer needles like microstructures.Thus, prediction of the macro and microstructures obtained at the end of the solidification is of great interest for the manufacturer of aluminium alloys. Neuralnetworks are sophisticated nonlinear regression routinesthat, when properly “trained”, allow for the identificationof More >

  • Open Access

    ARTICLE

    Prediction of Crack Growth in Steam Generator Tubes Using Monte Carlo Simulation

    Jae Bong Lee1, Jai Hak Park1, Sung Ho Lee2, Hong-Deok Kim2, Han-Sub Chung2

    CMES-Computer Modeling in Engineering & Sciences, Vol.11, No.1, pp. 9-16, 2006, DOI:10.3970/cmes.2006.011.009

    Abstract The growth of stress corrosion cracks in steam generator tubes is predicted using the Monte Carlo simulation and statistical approaches. The statistical parameters that represent the characteristics of crack growth and crack initiation are derived from in-service inspection (ISI) non-destructive evaluation (NDE) data. Based on the statistical approaches, crack growth models are proposed and applied to predict crack distribution at the end of cycle (EOC). Because in-service inspection (ISI) crack data is different from physical crack data, a simple method for predicting the physical number of cracks from periodic in-service inspection data is proposed in More >

  • Open Access

    ARTICLE

    Numerical Investigation of the Multiple Dynamic Crack Branching Phenomena

    T. Nishioka1, S. Tchouikov1, T. Fujimoto1

    CMC-Computers, Materials & Continua, Vol.3, No.3, pp. 147-154, 2006, DOI:10.3970/cmc.2006.003.147

    Abstract In this study, phenomena of multiple branching of dynamically propagating crack are investigated numerically. The complicated paths of cracks propagating in a material are simulated by moving finite element method based on Delaunay automatic triangulation (MFEM BODAT), which was extended for such problems. For evaluation of fracture parameters for propagating and branching cracks switching method of the path independent dynamic J integral was used. Using these techniques the generation phase simulation of multiple dynamic crack branching was performed. Various dynamic fracture parameters, which are almost impossible to obtain by experimental technique alone, were accurately evaluated. More >

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